At Simula, we delve into the mathematical foundations and practical applications of machine learning. Our work extends from sports to healthcare and defense, employing machine learning to create predictive models and intelligent solutions. This research significantly benefits industries seeking innovative, data-driven approaches for real-world problems.

Our cryptography research focuses on securing online data, essential in today's digital world. We design and analyze cryptographic schemes for secure communication and computation. This research supports industries by enabling secure interactions, like e-voting and cloud-based machine learning, safeguarding data integrity and privacy.

Our team at Simula leverages supercomputing for groundbreaking research in fields ranging from particle physics to human health. We develop efficient, user-friendly tools for high-performance computing, making supercomputing more accessible for various research areas, especially in biomedical science. This advancement aids industries in conducting detailed and swift simulations to tackle complex challenges.

We enhance the robustness, resilience, and security of communication systems, crucial for public services and critical infrastructures. By developing advanced applications and informing policy, our research paves the way for safer, more reliable digital infrastructure, directly benefiting industries reliant on these systems.

Our software engineering research is integral to advancing supercomputing capabilities. We focus on developing sophisticated mathematical models, software tools, and computer simulations that enhance understanding in diverse research fields. This initiative is crucial in tackling societal challenges, notably in human health, by enabling high-speed, accurate simulations. Our efforts in creating efficient and accessible supercomputing tools cater to a broad spectrum of research needs, particularly in biomedical science, thereby providing industries with advanced tools for innovative problem-solving and development.